|Title:||EDDDS : knowledge-based approach to distributed database design|
Expert systems (Computer science)
Hong Kong Polytechnic University -- Dissertations
|Pages:||v, 88, 111 leaves : ill. ; 30 cm|
|Abstract:||The major objective of this research is to investigate a knowledge-based approach to automatically design a distributed database. The design of a distributed database consists of four phases: the design of the global schema (conceptual design); the design of data fragmentation and allocation; and the design of physical structures at each site. This research will be based on the relational database concept to design a distributed database employing artificial intelligent techniques. After input of the system requirements and constraints, the knowledge-based system, called Expert Distributed Database Design System (EDDDS), will automatically generate a feasible distributed database design for the requirements. The output includes an Entity-Relationship Model (E-R Model) diagram, and a detailed table list which has taken into consideration the normalization, data fragmentation and site allocation. The result of the system is guaranteed, by the algorithm, the procession of completeness, reconstruction, and disjointness to verify the correctness of the output. In general, the system designed is aimed at domain independence. Since knowledge-base often is domain specific, there may be something special for each domain. Therefore, the knowledge-base of E-R modelling sub-system should be implemented or changed for the other domains. I have implemented and tested the system based on the domain of a simple distributed banking system environment. It is concluded that the knowledge-base approach to distributed database design is feasible. And, the system is able to be improved through further research.|
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